or apply directly on Kaseya Careers's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 87 days Kaseya Careers's roles stay open a median of 55 days
- Reposted
- No
- Salary listed
- No 5% of Kaseya Careers's roles list one
- Ghost-job risk at Kaseya Careers
- high 81 stale, 7 reposted of 142 open
- Hiring momentum
- 205 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-29
Measured from postings appearing on and disappearing from Kaseya Careers's own greenhouse board since 2026-08-03. Full hiring picture for Kaseya Careers.
About this role
The Senior Staff Software Engineer at Kaseya will lead the design and delivery of SaaS products that leverage data, machine learning, and AI. This hands-on role involves building scalable backend systems, designing APIs, and integrating advanced capabilities into product workflows while collaborating closely with Product, Design, and Data teams to enhance engineering standards and deliver impactful features.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Kaseya Careers as an employer.
What you need
- 10+ years of software engineering experience in a production environment
- Experience designing and building backend systems for SaaS applications
- Experience delivering complex, user-facing features end-to-end in collaboration with Product teams
- Experience building APIs and services (REST, GraphQL, or gRPC)
- Experience working with cloud platforms (AWS, GCP, or Azure)
- Experience integrating data, ML, or AI capabilities into production systems
Nice to have
- Experience with backend languages such as Node.js, Java, Go, or similar
- Experience with Python and data-related tooling (e.g., pandas, ML frameworks)
- Familiarity with data modeling, relational databases, and caching strategies
- Understanding of ML/AI systems, including model integration and common failure modes
- Experience working with containers and distributed systems
Worth weighing
- No salary listed
- The role requires significant experience (10+ years) which may limit applicants
- Focus on backend systems and SaaS may not appeal to those looking for frontend or full-stack roles
Summarised from Kaseya Careers's posting. Read the full original.
Listed by Kaseya Careers on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.
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